首页|Reports on Machine Learning Findings from Southeast University Provide New Insig hts (Degradation Law of Bond Strength of Reinforced Concrete With Corrosion-indu ced Cracks and Machine Learning Prediction Model)
Reports on Machine Learning Findings from Southeast University Provide New Insig hts (Degradation Law of Bond Strength of Reinforced Concrete With Corrosion-indu ced Cracks and Machine Learning Prediction Model)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Nanjing, People’s Repu blic of China, by NewsRx editors, research stated, “During long term operation s ervice, reinforced concrete (RC) structures are subjected to corrosive media suc h aschloride salts, which results in the degradation of interface bond performa nce, subsequently reducing theload bearing capacity and service life of the str uctures. To accurately assess the durability of RC structuresin environments su ch as oceans and salt lakes, this study combines experimental methods with machi nelearning (ML) techniques to explore the degradation patterns and predictive m odels of bond performanceunder chloride salt corrosion.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
NETL
NSTL
